diff --git a/hub/imports/energy_systems/water_to_water_hp_parameters.py b/hub/imports/energy_systems/water_to_water_hp_parameters.py
index 2fe85523..66f6d29a 100644
--- a/hub/imports/energy_systems/water_to_water_hp_parameters.py
+++ b/hub/imports/energy_systems/water_to_water_hp_parameters.py
@@ -4,16 +4,17 @@ SPDX - License - Identifier: LGPL - 3.0 - or -later
 Copyright © 2022 Concordia CERC group
 Project Coder Peter Yefi peteryefi@gmail.com
 """
-import io
 
-import pandas as pd
 from typing import Dict
-from hub.city_model_structure.energy_systems.water_to_water_hp import WaterToWaterHP
-from hub.city_model_structure.energy_system import EnergySystem
-from scipy.optimize import curve_fit
-import numpy as np
 from typing import List
 
+import numpy as np
+import pandas as pd
+from scipy.optimize import curve_fit
+
+from hub.city_model_structure.energy_system import EnergySystem
+from hub.city_model_structure.energy_systems.water_to_water_hp import WaterToWaterHP
+
 
 class WaterToWaterHPParameters:
   """
@@ -25,25 +26,7 @@ class WaterToWaterHPParameters:
     self._base_path = (base_path / 'heat_pumps/water_to_water.xlsx')
 
   def _read_file(self) -> Dict:
-    """
-    reads xlsx file containing water to water heat pump information
-    into a dictionary
-    :return : Dict
-
-    with open(self._base_path, 'rb') as xls:
-      xl_file = pd.read_excel(io.BytesIO(xls.read()))
-
-    hp_data = {}
-    flow_rates = {
-      '156': [2.84, 4.23, 5.68],
-      '256': [4.73, 7.13, 9.446],
-      '335': [6.62, 9.97, 12.93],
-    }
-
-    for sheet, dataframe in xl_file.items():
-      print(sheet, xl_file[sheet])
-      df = dataframe[xl_file[sheet].columns[1]]
-    """
+    # todo: this method is keeping the excel file open and should be either corrected or removed
     xl_file = pd.ExcelFile(self._base_path)
     heat_pump_dfs = {sheet_name: xl_file.parse(sheet_name)
                      for sheet_name in xl_file.sheet_names}
@@ -58,7 +41,6 @@ class WaterToWaterHPParameters:
     for sheet, dataframe in heat_pump_dfs.items():
 
       df = heat_pump_dfs[sheet].dropna(axis=1, how='all')
-      print(df)
       df = df.iloc[3:, 6:35]
 
       if '156' in sheet: